




'''simple docstring'''


class   __A :



   """simple docstring"""







   def __init__(      self						)->       int:
      lowercase__       							=							{}

   def snake_case_(      self						)->       None:
      print(self.vertex						)
      for i in self.vertex:
         print(_lowerCamelCase				, ''' -> '''				, ''' -> '''.join([str(_lowerCamelCase						) for j in self.vertex[i]]						)						)

   def snake_case_(      self				, _lowerCamelCase				, _lowerCamelCase						)->       None:
      # check if vertex is already present,
      if from_vertex in self.vertex:
         self.vertex[from_vertex].append(_lowerCamelCase						)
      else:
         # else make a new vertex
         lowercase__       							=							[to_vertex]

   def snake_case_(      self						)->       None:
      # visited array for storing already visited nodes
      lowercase__       							=							[False] * len(self.vertex						)

      # call the recursive helper function
      for i in range(len(self.vertex						)						):
         if not visited[i]:
            self.dfs_recursive(_lowerCamelCase				, _lowerCamelCase						)

   def snake_case_(      self				, _lowerCamelCase				, _lowerCamelCase						)->       None:
      # mark start vertex as visited
      lowercase__       							=							True

      print(_lowerCamelCase				, end=''' '''						)

      # Recur for all the vertices that are adjacent to this node
      for i in self.vertex:
         if not visited[i]:
            self.dfs_recursive(_lowerCamelCase				, _lowerCamelCase						)


if __name__ == "__main__":
  _lowerCAmelCase  		=      Graph()
  g.add_edge(0, 1)
  g.add_edge(0, 2)
  g.add_edge(1, 2)
  g.add_edge(2, 0)
  g.add_edge(2, 3)
  g.add_edge(3, 3)

  g.print_graph()
  print("DFS:")
  g.dfs()

  # OUTPUT:
  # 0  ->  1 -> 2
  # 1  ->  2
  # 2  ->  0 -> 3
  # 3  ->  3
  # DFS:
  #  0 1 2 3










'''simple docstring'''


from __future__ import annotations

import csv

import requests
from bsa import BeautifulSoup


def     SCREAMING_SNAKE_CASE							(   a_						:				str = ""      ):
  __a								=       url or 'https://www.imdb.com/chart/top/?ref_=nv_mv_250'
  __a								=       BeautifulSoup(requests.get(a_      ).text					,       'html.parser'      )
  __a								=       soup.find_all('td'					,       attrs='titleColumn'      )
  __a								=       soup.find_all('td'					,       class_='ratingColumn imdbRating'      )
  return {
      title.a.text: float(rating.strong.text      )
      for title, rating in zip(a_					,       a_      )
  }


def     SCREAMING_SNAKE_CASE							(   a_						:				str = "IMDb_Top_250_Movies.csv"      ):
  __a								=       get_imdb_top_aaa_movies()
  with open(a_					,       'w'					,       newline=''      ) as out_file:
    __a								=       csv.writer(a_      )
    writer.writerow(['Movie title', 'IMDb rating']      )
    for title, rating in movies.items():
      writer.writerow([title, rating]      )


if __name__ == "__main__":
  write_movies()



